Reinforcement Learning

A Robust Test for the Stationarity Assumption in Sequential Decision Making ICML 2023 ASAP: Attention-Based State Space Abstraction for Policy Summarization ACML 2023 A Simple Solution for Offline Imitation from Observations and Examples with Possibly Incomplete Trajectories NeurIPS 2023 A Single-Loop Accelerated Extra-Gradient Difference Algorithm with Improved Complexity Bounds for Constrained Minimax Optimization NeurIPS 2023 Assessing the Impact of Context Inference Error and Partial Observability on RL Methods for Just-In-Time Adaptive Interventions UAI 2023 A Study of Global and Episodic Bonuses for Exploration in Contextual MDPs ICML 2023 Asymptotically Unbiased Off-Policy Policy Evaluation when Reusing Old Data in Nonstationary Environments AISTATS 2023 A Tale of Sampling and Estimation in Discounted Reinforcement Learning AISTATS 2023 A Tale of Two Efficient Value Iteration Algorithms for Solving Linear MDPs with Large Action Space AISTATS 2023 Atari-5: Distilling the Arcade Learning Environment down to Five Games ICML 2023 A Theoretical Analysis of Optimistic Proximal Policy Optimization in Linear Markov Decision Processes NeurIPS 2023 A Tighter Problem-Dependent Regret Bound for Risk-Sensitive Reinforcement Learning AISTATS 2023 A Toolkit for Reliable Benchmarking and Research in Multi-Objective Reinforcement Learning NeurIPS 2023 A trajectory is worth three sentences: multimodal transformer for offline reinforcement learning UAI 2023 Attention-Based Recurrence for Multi-Agent Reinforcement Learning under Stochastic Partial Observability ICML 2023 Augmented Proximal Policy Optimization for Safe Reinforcement Learning AAAI 2023 A Unified Algorithm for Stochastic Path Problems ALT 2023 A Unified Algorithm Framework for Unsupervised Discovery of Skills based on Determinantal Point Process NeurIPS 2023 A Unified Approach to Reinforcement Learning, Quantal Response Equilibria, and Two-Player Zero-Sum Games ICLR 2023 A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning JMLR 2023 Auto-bidding with Budget and ROI Constrained Buyers IJCAI 2023 AutoCost: Evolving Intrinsic Cost for Zero-Violation Reinforcement Learning AAAI 2023 Automatic Grouping for Efficient Cooperative Multi-Agent Reinforcement Learning NeurIPS 2023 Automatic Intrinsic Reward Shaping for Exploration in Deep Reinforcement Learning ICML 2023 Automatic Unit Test Data Generation and Actor-Critic Reinforcement Learning for Code Synthesis EMNLP 2023